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ORCIDMingle Zhou
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2020 – today
- 2026
[j24]Gang Li
, Tianjiao Chen, Jin Wan, Mingle Zhou, Delong Han, Min Li:
Normality-enhanced knowledge distillation network for unsupervised industrial anomaly detection. Eng. Appl. Artif. Intell. 167: 113751 (2026)- [j23]Gang Li, Chengrun Jiang, Jiachen Li, Jin Wan, Mingle Zhou, Delong Han:
Enhancing mixture-of-experts model with prior knowledge for infrared and visible image fusion in complex degraded environments. Expert Syst. Appl. 298: 129844 (2026) - [j22]Min Li, Zhaofei Hao, Gang Li, Jin Wan, Delong Han, Mingle Zhou:
Boosting Small Object Detection via High-Frequency Feature Oriented Network. IEEE Signal Process. Lett. 33: 584-588 (2026) - [c23]Mingle Zhou, Tao Liu, Min Li, Yifa Sun, Yuan Gao, Qingpei Liu, Zihan Cui, Gang Li:
DoRA-Based Parameter-Efficient Fine-Tuning of Large Language Models for Corporate Compliance Determination. ICIC (13) 2026: 62-75 - [i5]Kaiqiang Li, Gang Li, Mingle Zhou, Min Li, Delong Han, Jin Wan:
Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection. CoRR abs/2603.21511 (2026) - [i4]Mingle Zhou, Jiahui Liu, Jin Wan, Gang Li, Min Li:
Exploring Multimodal Prompts For Unsupervised Continuous Anomaly Detection. CoRR abs/2603.21562 (2026) - [i3]Jiachen Li, Guangzhi Han, Jin Wan, Delong Han, Yuan Gao, Min Li, Mingle Zhou, Gang Li:
PD-4DGS:Progressive Decomposition of 4D Gaussian Splatting for Bandwidth-Adaptive Dynamic Scene Streaming. CoRR abs/2605.11427 (2026) - 2025
- [j21]Luo Xu, Delong Han, Gang Li, Mingle Zhou, Jin Wan, Min Li:
Multimodal feature cooperative refinement for few-shot anomaly detection. Adv. Eng. Informatics 68: 103792 (2025) - [j20]Gang Li, Chengrun Jiang, Min Li, Jiachen Li, Delong Han, Mingle Zhou:
Industrial-application-oriented 2D image and 3D object anomaly detection technology: a comprehensive review. Appl. Intell. 55(13): 938 (2025) - [j19]Min Li, Zuobin Ying, Gang Li, Mingle Zhou, Jinghui He:
Unsupervised anomaly detection with memory bank and contrastive learning. Array 28: 100548 (2025) - [j18]Gang Li, Mingchao Ge, Jin Wan, Delong Han, Min Li, Mingle Zhou:
MemMambaAD: Memory-augmented state space model for multivariate time series anomaly detection. Eng. Appl. Artif. Intell. 158: 111308 (2025) - [j17]Mingle Zhou, Wenlong Liu, Jin Wan, Delong Han, Min Li, Gang Li:
Scene text image super-resolution with semantic-aware interaction. Eng. Appl. Artif. Intell. 158: 111345 (2025) - [j16]Yuan Gao, Yuan Zhou, Da Chen, Jiachen Li, Mingle Zhou, Gang Li, Yunbo Gu, Jean-Louis Coatrieux, Yang Chen:
Three-dimensional reconstruction and fracture segmentation based on X-ray and computed tomography paired dataset. Eng. Appl. Artif. Intell. 161: 112151 (2025) - [j15]Zhengqian Feng, Wei Wang, Mingle Zhou, Wang Li, Yuan Gao, Jiachen Li, Gang Li:
PFRNet: Progressive multi-scale feature fusion and refinement for RGB-D salient object detection. Neurocomputing 650: 130888 (2025) - [j14]Wang Li, Ming Chen, Zhengqian Feng, Jin Wan, Mingle Zhou:
Dual-domain divide-and-conquer for scene text image super-resolution. Knowl. Based Syst. 331: 114685 (2025) - [j13]Delong Han, Luo Xu, Mingle Zhou, Jin Wan, Min Li, Gang Li:
Reconsidering learnable fine-grained text prompts for few-shot anomaly detection in visual-language models. Neural Networks 182: 106906 (2025) - [c22]Delong Han, Hongyu Hao, Jin Wan, Gang Li, Min Li, Mingle Zhou:
Few-Shot Relation Extraction via Semantically Related Negative Samples. ECAI 2025: 4289-4296 - [c21]Mingle Zhou, Xingli Wang, Delong Han, Jin Wan, Jiachen Li:
STAD: Joint Spatial-Temporal Dimension and Channel Correlation for Time Series Anomaly Detection. ICASSP 2025: 1-5 - [c20]Wang Li, Xiaoming Sun, Yongqiao You, Zhengqian Feng, Mingle Zhou:
MFPD:Multi-feature Prompt-Driven Industrial Real-Time Semantic Segmentation. IJCNN 2025: 1-8 - [c19]Min Li, Juan Yu, Mingle Zhou, Jiachen Li, Delong Han:
CSF-DSRE:A Distantly Supervised Relation Extraction Model Based on Contextual Semantic Fusion. IJCNN 2025: 1-8 - [c18]Mingle Zhou, Jiahui Liu, Jin Wan, Gang Li, Min Li:
Exploring Multimodal Prompts For Unsupervised Continuous Anomaly Detection. ACM Multimedia 2025: 1510-1519 - [c17]Mingle Zhou, Xingli Wang, Jiachen Li, Delong Han, Gang Li:
Unsupervised Dual-Domain Memory Model for Time Series Anomaly Detection. ACM Multimedia 2025: 5538-5546 - [i2]Gang Li, Tianjiao Chen, Mingle Zhou, Min Li, Delong Han, Jin Wan:
MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection. CoRR abs/2509.10282 (2025) - 2024
- [j12]Zhanzhi Su, Mingle Zhou, Min Li, Zekai Zhang, Delong Han, Gang Li:
Revisiting the application of twin connected parallel networks and regression loss functions in industrial defect detection. Adv. Eng. Informatics 62: 102611 (2024) - [j11]ShiLong Zhao, Gang Li, Mingle Zhou, Min Li:
YOLO-CEA: a real-time industrial defect detection method based on contextual enhancement and attention. Clust. Comput. 27(3): 2329-2344 (2024) - [j10]Rui Shao, Mingle Zhou, Min Li, Delong Han, Gang Li:
TD-Net:tiny defect detection network for industrial products. Complex Intell. Syst. 10(3): 3943-3954 (2024) - [j9]Gang Li, ShiLong Zhao, Min Li, Mingle Zhou, Zuobin Ying:
IDP-Net: Industrial defect perception network based on cross-layer semantic information guidance and context concentration enhancement. Eng. Appl. Artif. Intell. 130: 107677 (2024) - [j8]Zhengqian Feng, Wei Wang, Wang Li, Gang Li, Min Li, Mingle Zhou:
MFUR-Net: Multimodal feature fusion and unimodal feature refinement for RGB-D salient object detection. Knowl. Based Syst. 299: 112022 (2024) - [j7]Mingle Zhou, Zhanzhi Su, Min Li, Yingjie Wang, Gang Li:
CSDD-Net: A cross semi-supervised dual-feature distillation network for industrial defect detection. Knowl. Based Syst. 306: 112751 (2024) - [j6]Gang Li, Cheng Zhang, Min Li, Delong Han, Mingle Zhou:
LHA-Net: A Lightweight and High-Accuracy Network for Road Surface Defect Detection. IEEE Trans. Intell. Veh. 9(12): 7577-7591 (2024) - [c16]Zhitao Yu, Peng Sun, Mingle Zhou, Qianlong Liu, Shilong Zhao:
Research on liquid crystal display technology based on regional dynamic dimming algorithm. DSC 2024: 635-640 - [c15]Mingle Zhou, Rui Xing, Delong Han, Zhiyong Qi, Gang Li:
PDT: Uav Target Detection Dataset for Pests and Diseases Tree. ECCV (76) 2024: 56-72 - [c14]Wang Li, Yuan Zhou, Delong Han, Zhengqian Feng, Mingle Zhou:
Structural Optimization and Sequence Interaction Enhancement for Hyper-Relational Knowledge Graphs. ICIC (13) 2024: 261-273 - [c13]Gang Li, Mingchao Ge, Mingle Zhou, Jin Wan, Delong Han:
Time Series Anomaly Detection via Temporal Dependencies and Multivariate Correlations Integrating. ICONIP (3) 2024: 384-398 - [c12]Gang Li, Cheng Zhang, Delong Han, Letian Gao, Mingle Zhou:
Gradient-YOLO: Exploring the integration of gradient architecture into the YOLO network. IJCNN 2024: 1-8 - [c11]Mingle Zhou, Rui Xing, Min Li, Delong Han, Gang Li:
Color and Feature Space Classification Methods Solve the Problem of Covariate Semantic Information Deviation in Complex Scene Detection Tasks. IJCNN 2024: 1-9 - [c10]Gang Li, Tianjiao Chen, Min Li, Delong Han, Mingle Zhou:
Anomaly-Free Prior Guided Knowledge Distillation for Industrial Anomaly Detection. SMC 2024: 1889-1894 - [c9]Delong Han, Luo Xu, Mingle Zhou, Gang Li, Min Li:
FGSNet: A Finer-Grained Siamese Network for Industrial Few-Shot Anomaly Detection. SMC 2024: 1895-1900 - [c8]Zhengqian Feng, Xiyao Yue, Wang Li, Mingle Zhou, Delong Han, Gang Li:
Knowledge Distillation Using Global Fusion and Feature Restoration for Industrial Defect Detectors. SMC 2024: 2146-2151 - [c7]Min Li, Jinghui He, Zuobin Ying, Gang Li, Mingle Zhou:
MemADet: A Representative Memory Bank Approach for Industrial Image Anomaly Detection. SMC 2024: 2261-2266 - [i1]Mingle Zhou, Rui Xing, Delong Han, Zhiyong Qi, Gang Li:
PDT: Uav Target Detection Dataset for Pests and Diseases Tree. CoRR abs/2409.15679 (2024) - 2023
- [j5]Zekai Zhang, Mingle Zhou, Honglin Wan, Min Li, Gang Li, Delong Han:
IDD-Net: Industrial defect detection method based on Deep-Learning. Eng. Appl. Artif. Intell. 123(Part B): 106390 (2023) - [j4]ShiLong Zhao, Gang Li, Mingle Zhou, Min Li:
ICA-Net: Industrial defect detection network based on convolutional attention guidance and aggregation of multiscale features. Eng. Appl. Artif. Intell. 126(Part D): 107134 (2023) - [j3]Zhanzhi Su, Mingle Zhou, Honglin Wan, Min Li, Zekai Zhang, Delong Han, Rui Shao, Gang Li:
Rethinking interactive networks and regression loss functions for industrial defect detection. J. King Saud Univ. Comput. Inf. Sci. 35(9): 101756 (2023) - [c6]Min Li, Cong Shao, Gang Li, Mingle Zhou:
HFMRE: Constructing Huffman Tree in Bags to Find Excellent Instances for Distantly Supervised Relation Extraction. EMNLP (Findings) 2023: 12820-12832 - [c5]Mingle Zhou, Changle Yi, Min Li, Honglin Wan, Gang Li, Delong Han:
Transforming Limitations into Advantages: Improving Small Object Detection Accuracy with SC-AttentionIoU Loss Function. ICANN (7) 2023: 221-232 - [c4]Mingle Zhou, Zhanzhi Su, Min Li, Delong Han, Gang Li:
Exploring Adaptive Regression Loss and Feature Focusing in Industrial Scenarios. ICONIP (6) 2023: 191-205 - [c3]Zekai Zhang, Mingle Zhou, Honglin Wan, Min Li, Gang Li:
DCP-Net: The Defect Detection Method of Industrial Product based on Dual Collaborative Paths. IJCNN 2023: 1-8 - [c2]Gang Li, Jiakai Tian, Mingle Zhou, Min Li, Delong Han:
A Relational Classification Network Integrating Multi-scale Semantic Features. NLPCC (2) 2023: 136-147 - [c1]Mingle Zhou, Changle Yi, Honglin Wan, Min Li, Gang Li, Delong Han:
PCB Defect Detection Model with Convolutional Modules Instead of Self-Attention Mechanism. SMC 2023: 520-525 - 2022
- [j2]Gang Li, Mingle Zhou, Zhengqian Feng, Min Li, Hui Jiang:
Research on Key Influencing Factors of E-Government Cloud Service Satisfaction. Wirel. Pers. Commun. 127(2): 1117-1135 (2022)
2010 – 2019
- 2019
- [j1]Guangtao Lu, Tao Wang, Mingle Zhou, Yourong Li:
Characterization of Ultrasonic Energy Diffusion in a Steel Alloy Sample with Tensile Force Using PZT Transducers. Sensors 19(9): 2185 (2019)
Coauthor Index
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